Senior Data Engineer

ID
2024-7663
Company
Global Credit Union
Type
Full Time
Location
C Street Administration
City
Anchorage
Work Hours
Monday – Friday: 8:00 am – 5:30 pm
Regular Schedule is five 8 hour days
Yes
Addition Shift Differential
None
FLSA Status
Exempt

Overview

Reports to: Manager, Data Analytics


Functions Supervised: None

 

Primary Functions: Lead and implement data engineering projects, support and maintain data pipelines, and provide expertise and best practices regarding data engineering. Typical data engineering projects focus on improving performance and adding features to existing data pipelines.  


Duties and Responsibilities:

  1. Maintain in-depth understanding of relevant data engineering best practices
  2. Display expertise with tools needed to debug and diagnose issues
  3. Design, implement, and deploy a solution for medium to large understood problems
  4. Design and develop new data engineering pipelines
  5. Continuously evaluate and provide recommendations to improve pipeline, systems, and infrastructure, based on data engineering best practices
  6. Act as project manager for data engineering projects, typically
  7. Show initiative and work well individually, as part of the Data Engineering team, and with other teams within the organization
  8. Deliver feedback in a constructive manner
  9. Provide guidance to other engineers and workflow developers
  10. Work well with technical leads, incorporating feedback as needed
  11. Perform other duties as assigned.

Qualifications

Education: Bachelor's degree in computer science, software or computer engineering, applied math, physics, statistics, or a related field.


Creditable Experience in Lieu of Education: Minimum of ten years relevant experience.


Experience/Skills: Strong Experience in Design, Development, Implementation, Unit Testing, Troubleshooting and Support of ETL/ELT Process Using Wherescape RED and Other In-House Tools. Experience in the Snowflake Environment. Strong Experience in SQL Query Design and Implementation. Experience in DWH Concepts and other DWH Related Terms. Experience in SQL Performance Tuning and Query Optimization by Indexing, Partitioning and Denormalization. Well Versed with Migration. Working Knowledge of BI Reporting (preferably Tableau and SSRS). Experience with workflow orchestration. Understanding of security & privacy principals.


Tenure: Not Applicable.

 

Compensation

Senior Data Engineer (Category 06)

 

Salary Pay Range: $100,331 - $172,572 annually. Starting base salary will be determined based on candidate experience, qualifications, education, and local or state wage requirements, if applicable and will fall within the range provided above.

 

In accordance with our Salary Administration policy, new hire base salaries generally fall within the minimum to midpoint of the listed range.

Benefits

  • Short-term and long-term incentives
  • Comprehensive medical, dental and vision insurance plan that has HSA and FSA options
  • 401(k) plan with a 5% match
  • Employee Assistance Program (EAP)
  • Life and disability coverage
  • Voluntary cash benefits for accident, hospitalization and critical illness
  • Tuition Reimbursement
  • Generous leave programs to include Paid Time Off accrual, Paid Sick Leave, Paid Holidays
  • Click here to view Global’s comprehensive Benefits Programs

Equal Opportunity Employer

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